Assessing and mitigating privacy risks of sparse, noisy genotypes by local alignment to haplotype databases

Prashant S Emani1,2, Maya N Geradi1,2, Gamze Gürsoy1,2

  • 1Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.

Genome Research
|December 14, 2023
PubMed
Summary

Small sets of genetic data (SNPs) pose reidentification risks. Our tool, PLIGHT, quantifies this privacy leakage, even with noisy data, and offers a sanitization method to protect individuals.

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